{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "python:\n",
    "  numpy.kron(a, b)\n",
    "eigen3: \n",
    "  template<typename Lhs, typename Rhs>\n",
    "  class Eigen::KroneckerProduct< Lhs, Rhs >\n",
    "'''\n",
    "import numpy as np\n",
    "np.kron([1,10,100], [5,6,7])\n",
    "np.kron([1,2,3], [1,2,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import sympy as sym\n",
    "A = ['cosX', 'cosY', 'cosZ']\n",
    "B = ['cosXd', 'cosYd', 'cosZd']\n",
    "# np.kron(A, B)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
